Please use this identifier to cite or link to this item: https://doi.org/10.25540/T4RP-938*
Title: Visual and non-visual image tweet dataset
Creators: Tao Chen
Dongyuan Lu
KAN MIN-YEN 
Peng Cui
NUS Contact: KAN MIN-YEN
Subject: Image tweets
Analysis
Microblog
Classification
DOI: 10.25540/T4RP-938*
Description: 

We release the 4,811 Weibo image tweets with human annotated image-text relationship (i.e., visual/non-visual) used in the following paper. Please cite our MM'13 paper if you use this dataset.

For details, please visit https://github.com/WING-NUS/visual-image-tweets.

Related Publications: 10635/78411
10.1145/2502081.2502203
Citation: When using this data, please cite the original publication and also the dataset.
  • T. Chen, D. Lu, M.-Y. Kan, and P. Cui, “Understanding and classifying image tweets,” in Proceedings of the 21st ACM international conference on Multimedia - MM ’13, 2013, pp. 781–784.
  • Tao Chen, Dongyuan Lu, KAN MIN-YEN, Peng Cui (2017-11-13). Visual and non-visual image tweet dataset. ScholarBank@NUS Repository. [Dataset]. https://doi.org/10.25540/T4RP-938*
License: Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:Staff Dataset
Staff Dataset

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File Description SizeFormatAccess Settings 
image_tweets.txtIn the corpus, each instance contains a tweet id and its image-text relationship (visual/non-visual).128.42 kBText

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README.md651 BUnknown

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This item is licensed under a Creative Commons License Creative Commons